Benchmark: soa vs aos - MeasureThat.net

Script Preparation code:

var N = 1000000;

var x = [], y = [], z = [];

var xt = new Float32Array(1000000);
var yt = new Float32Array(1000000);
var zt = new Float32Array(1000000);

var vectors = [];

for(var i = 0; i < N; i++){
  x[i] = Math.random();
  y[i] = Math.random();
  z[i] = Math.random();
  
  xt[i] = x[i];
  yt[i] = y[i];
  zt[i] = z[i];
  
  vectors[i] = { x: x[i], y: y[i], z: z[i] };
}

var vector;

Tests:

soa
for (var i = 0, li=x.length; i < li; ++i) { x[i] *= 2; y[i] *= 2; z[i] *= 2; }
aos
for (var i = 0, li=vectors.length; i < li; ++i) { vector = vectors[i]; vector.x *= 2; vector.y *= 2; vector.z *= 2; }
soa mark II
for (var i = 0, li=xt.length; i < li; ++i) { xt[i] *= 2; } for (var i = 0, li=yt.length; i < li; ++i) { yt[i] *= 2; } for (var i = 0, li=zt.length; i < li; ++i) { zt[i] *= 2; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
soa
aos
soa mark II

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The benchmark measures the performance difference between two approaches: Staged Operations (SOA) and Staged Array Operations (SAO), also known as Asynchronous Operations (AOs). The benchmark is designed to compare the execution speed of these two approaches in a JavaScript context.

**Options Compared**

In this benchmark, there are three options being compared:

1. **Staged Operations (SOA)**: This approach involves executing each stage of the computation separately and then combining the results.
2. **Staged Array Operations (SAO) or Asynchronous Operations (AOs)**: In this approach, each element of the array is processed asynchronously, which can improve performance by avoiding blocking operations.

**Pros and Cons**

* **SOA**: Pros:
	+ Can be more predictable and easier to analyze.
	+ Allows for better control over the computation pipeline.
* Cons:
	+ May be slower due to the overhead of creating intermediate results.
	+ Can lead to memory issues if not handled properly.
* **SAO/AOs**: Pros:
	+ Can provide better performance by avoiding blocking operations.
	+ Can improve scalability and responsiveness.
* Cons:
	+ Can be more challenging to analyze and debug.
	+ May require additional infrastructure or libraries to manage asynchronous operations.

**Library Used**

In the benchmark, the `Float32Array` class is used to represent large arrays of floating-point numbers. This class provides an efficient way to store and manipulate array data in JavaScript.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark. However, it's worth noting that modern JavaScript engines like V8 (used by Chrome) have implemented various optimizations and techniques to improve performance, such as just-in-time compilation and caching.

**Other Alternatives**

If you're interested in exploring alternative approaches to this benchmark, here are a few options:

1. **Caching**: Implementing caching mechanisms can help reduce the overhead of repeated computations.
2. **Parallel Processing**: Using parallel processing techniques, like Web Workers or libraries like worker.js, can potentially improve performance by executing computations concurrently.
3. **SIMD Instructions**: Using SIMD (Single Instruction, Multiple Data) instructions, like SSE or AVX, can provide significant performance improvements for certain types of computations.

Keep in mind that these alternatives may not be directly applicable to this specific benchmark and may require additional modifications or infrastructure to work effectively.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Mobile Safari/537.36

Browser/OS: Chrome Mobile 116 on Android

View result in a separate tab

Test name	Executions per second
soa	3.4 Ops/sec
aos	1.9 Ops/sec
soa mark II	3.4 Ops/sec

Related benchmarks:

soa vs aos (version: 0)

As titled

Comparing performance of: soa vs aos vs soa mark II

Created: 8 years ago by: Guest

Jump to the latest result

soa

aos

soa mark II

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):